132:@0.067867:0.963104:0.109245:0.963104:0.109245:0.941283:0.067867:0.941283:0.000000:0.000000:0.000000
Matemática:@0.120102:0.956142:0.204868:0.956142:0.204868:0.943479:0.120102:0.943479:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1.º BG:@0.120102:0.967458:0.162238:0.967458:0.162238:0.954794:0.120102:0.954794:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
isposición y compromiso:@0.306727:0.140863:0.485691:0.140863:0.485691:0.125499:0.306727:0.125499:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
D:@0.284763:0.141649:0.297589:0.141649:0.297589:0.124513:0.284763:0.124513:0.000000
Matriz inversa:@0.286308:0.075160:0.494798:0.075160:0.494798:0.041608:0.286308:0.041608:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
La matriz inversa de una matriz cuadrada A es otra matriz, llamada A , que cumple la :@0.287495:0.455915:0.907673:0.455915:0.907673:0.439526:0.287495:0.439526:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
−1:@0.780743:0.449868:0.792389:0.449868:0.792389:0.440313:0.780743:0.440313:0.000000:0.000000
siguiente propiedad::@0.287490:0.472511:0.439037:0.472511:0.439037:0.456122:0.287490:0.456122:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
A   A  = A:@0.287490:0.496230:0.363323:0.496237:0.363323:0.479848:0.287490:0.479841:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
·:@0.302490:0.496230:0.306839:0.496230:0.306839:0.479330:0.302490:0.479330:0.000000
−1:@0.321843:0.490189:0.333489:0.490189:0.333489:0.480634:0.321843:0.480634:0.000000:0.000000
−1:@0.363322:0.490189:0.374968:0.490189:0.374968:0.480634:0.363322:0.480634:0.000000:0.000000
·:@0.379188:0.496237:0.383537:0.496237:0.383537:0.479336:0.379188:0.479336:0.000000
 A = I, donde I es la matriz identidad del mismo orden.:@0.383721:0.496237:0.778953:0.496237:0.778953:0.479848:0.383721:0.479848:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Condiciones de existencia:@0.287495:0.536122:0.549021:0.536122:0.549021:0.514612:0.287495:0.514612:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Una matriz cuadrada tiene inversa solo si se cumplen estas dos condiciones::@0.287495:0.558903:0.843804:0.558903:0.843804:0.542514:0.287495:0.542514:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1.:@0.287495:0.579068:0.301722:0.579068:0.301722:0.562167:0.287495:0.562167:0.000000:0.000000
  La matriz debe ser cuadrada.:@0.301722:0.579068:0.525859:0.579068:0.525859:0.562679:0.301722:0.562679:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
2.:@0.287495:0.599232:0.301722:0.599232:0.301722:0.582332:0.287495:0.582332:0.000000:0.000000
  Su determinante debe ser distinto de cero: det ( ) ≠ 0:@0.301722:0.599232:0.708840:0.599232:0.708840:0.582843:0.301722:0.582843:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
A:@0.666014:0.599232:0.675909:0.599232:0.675909:0.582871:0.666014:0.582871:0.000000
Si el determinante es 0, la matriz no tiene inversa y se dice que es singular.:@0.287495:0.622965:0.828488:0.622965:0.828488:0.606576:0.287495:0.606576:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Matriz inversa por el método de la matriz aumentada:@0.287495:0.655636:0.745493:0.655636:0.745493:0.637199:0.287495:0.637199:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Este método se basa en aplicar operaciones elementales por renglón para transfor-:@0.287495:0.679047:0.903697:0.679047:0.903697:0.662658:0.287495:0.662658:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
mar la matriz original en la matriz identidad, mientras se transforma simultáneamen-:@0.287495:0.695643:0.903585:0.695643:0.903585:0.679254:0.287495:0.679254:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
te la identidad en la inversa.:@0.287495:0.712240:0.490769:0.712240:0.490769:0.695851:0.287495:0.695851:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1.:@0.287495:0.739527:0.301722:0.739527:0.301722:0.722626:0.287495:0.722626:0.000000:0.000000
  Construye la matriz aumentada: [ A  I ]. Es decir, escribe la matriz A y al lado su :@0.301722:0.739527:0.907639:0.739528:0.907639:0.723139:0.301722:0.723138:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
matriz identidad del mismo orden.:@0.315986:0.756124:0.569436:0.756124:0.569436:0.739736:0.315986:0.739736:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
2.:@0.287497:0.776289:0.301723:0.776289:0.301723:0.759388:0.287497:0.759388:0.000000:0.000000
  Aplica operaciones elementales por fila para convertir   en la matriz identidad.:@0.301723:0.776289:0.890741:0.776289:0.890741:0.759900:0.301723:0.759900:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.587036:0.776289:0.591072:0.776289:0.591072:0.759900:0.587036:0.759900:0.000000
A:@0.713964:0.776289:0.723860:0.776289:0.723860:0.759928:0.713964:0.759928:0.000000
3.:@0.287497:0.796454:0.301723:0.796454:0.301723:0.779553:0.287497:0.779553:0.000000:0.000000
  Cuando logres que el lado izquierdo sea la identidad, el lado derecho será la :@0.301723:0.796454:0.907587:0.796454:0.907587:0.780065:0.301723:0.780065:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
matriz inversa: [I  A ]:@0.315986:0.813050:0.470212:0.813041:0.470212:0.796652:0.315986:0.796661:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
−1:@0.453683:0.806994:0.465328:0.806994:0.465328:0.797439:0.453683:0.797439:0.000000:0.000000
Operaciones elementales entre filas de una matriz:@0.287495:0.838588:0.719920:0.838588:0.719920:0.820151:0.287495:0.820151:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
·:@0.287680:0.861998:0.292029:0.861998:0.292029:0.845097:0.287680:0.845097:0.000000
Intercambio de dos filas de una matriz.:@0.315985:0.861998:0.599415:0.861998:0.599415:0.845609:0.315985:0.845609:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.467513:0.861998:0.471549:0.861998:0.471549:0.845609:0.467513:0.845609:0.000000
·:@0.287680:0.882163:0.292029:0.882163:0.292029:0.865262:0.287680:0.865262:0.000000
Producto de una fila de la matriz por una constante diferente de cero.:@0.315985:0.882163:0.823974:0.882163:0.823974:0.865774:0.315985:0.865774:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.447058:0.882163:0.451094:0.882163:0.451094:0.865774:0.447058:0.865774:0.000000
·:@0.287680:0.902327:0.292029:0.902327:0.292029:0.885427:0.287680:0.885427:0.000000
Multiplicación de una fila de una matriz por una constante y sumar con otra fila.:@0.315985:0.902327:0.899490:0.902327:0.899490:0.885938:0.315985:0.885938:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.483453:0.902327:0.487489:0.902327:0.487489:0.885938:0.483453:0.885938:0.000000
 :@0.879551:0.902327:0.883587:0.902327:0.883587:0.885938:0.879551:0.885938:0.000000
nidad de conocimientos:@0.306727:0.428559:0.480398:0.428559:0.480398:0.413194:0.306727:0.413194:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
U:@0.284892:0.429344:0.297460:0.429344:0.297460:0.412209:0.284892:0.412209:0.000000
Pienso y progreso:@0.294883:0.372790:0.417347:0.372790:0.417347:0.357426:0.294883:0.357426:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
¿Por qué es importante para las empresas organizar sus actividades?:@0.294883:0.391441:0.748381:0.391441:0.748381:0.376542:0.294883:0.376542:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Una oficina de diseño gráfico lleva registro de cómo se distribuyen las horas de tra-:@0.287495:0.168345:0.903607:0.168345:0.903607:0.151956:0.287495:0.151956:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
bajo de tres empleados en tres tipos de tareas: ilustración, edición de video y revi-:@0.287495:0.184941:0.903623:0.184941:0.903623:0.168553:0.287495:0.168553:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
sión de contenido. Al final de una semana, la jefa de área decide analizar la matriz de :@0.287495:0.201538:0.907696:0.201538:0.907696:0.185149:0.287495:0.185149:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
distribución de horas para estandarizar el proceso en futuras semanas. La matriz con :@0.287495:0.218134:0.907694:0.218134:0.907694:0.201745:0.287495:0.201745:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
los datos organizados quedó así::@0.287495:0.234731:0.525394:0.234731:0.525394:0.218342:0.287495:0.218342:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
A:@0.315985:0.292693:0.325880:0.292693:0.325880:0.276332:0.315985:0.276332:0.000000
 =  :@0.325880:0.292693:0.348307:0.292693:0.348307:0.275793:0.325880:0.275793:0.000000:0.000000:0.000000:0.000000
  1:@0.352518:0.269440:0.369582:0.269440:0.369582:0.253051:0.352518:0.253051:0.000000:0.000000:0.000000
2   1  :@0.390590:0.269440:0.433580:0.269440:0.433580:0.253051:0.390590:0.253051:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
  0:@0.352518:0.290489:0.369582:0.290489:0.369582:0.274100:0.352518:0.274100:0.000000:0.000000:0.000000
1   3:@0.390590:0.290489:0.426395:0.290489:0.426395:0.274100:0.390590:0.274100:0.000000:0.000000:0.000000:0.000000:0.000000
  2:@0.352518:0.310101:0.369582:0.310101:0.369582:0.293712:0.352518:0.293712:0.000000:0.000000:0.000000
3   4:@0.390590:0.310101:0.426395:0.310101:0.426395:0.293712:0.390590:0.293712:0.000000:0.000000:0.000000:0.000000:0.000000
¿Cuál es la matriz inversa de A, utilizando el método de la matriz ampliada?:@0.287487:0.340140:0.834854:0.340140:0.834854:0.323751:0.287487:0.323751:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
:@0.094760:0.108603:0.159692:0.108603:0.159692:0.011514:0.094760:0.011514:0.000000
¿Una matriz puede :@0.118053:0.192000:0.247832:0.192000:0.247832:0.177101:0.118053:0.177101:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
escribirse como un :@0.117467:0.207088:0.247834:0.207088:0.247834:0.192189:0.117467:0.192189:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
determinante?:@0.146298:0.222175:0.244164:0.222175:0.244164:0.207276:0.146298:0.207276:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Saberes previos:@0.108521:0.163125:0.227756:0.163125:0.227756:0.146224:0.108521:0.146224:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
©Shutterstock:@0.076731:0.314377:0.076731:0.271551:0.064820:0.271551:0.064820:0.314377:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Las matrices ayudan :@0.141237:0.402334:0.262307:0.402334:0.262307:0.388925:0.141237:0.388925:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
a la optimización :@0.160340:0.414906:0.262307:0.414906:0.262307:0.401496:0.160340:0.401496:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de recursos en empresas.:@0.112877:0.427477:0.259005:0.427477:0.259005:0.414068:0.112877:0.414068:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Propiedades :@0.157168:0.528611:0.247715:0.528611:0.247715:0.513498:0.157168:0.513498:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de la matriz inversa :@0.110010:0.543698:0.247714:0.543698:0.247714:0.528586:0.110010:0.528586:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Si   y   son inversas :@0.113043:0.562344:0.247831:0.562344:0.247831:0.547445:0.113043:0.547445:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
B C:@0.127986:0.562344:0.159748:0.562344:0.159748:0.547470:0.127986:0.547470:0.000000:0.000000:0.000000
de la matriz  , entonces, :@0.082721:0.577432:0.247829:0.577432:0.247829:0.562533:0.082721:0.562533:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
A:@0.163935:0.577432:0.172931:0.577432:0.172931:0.562558:0.163935:0.562558:0.000000
B:@0.087562:0.592519:0.095603:0.592519:0.095603:0.577646:0.087562:0.577646:0.000000
 =  ; por lo tanto, toda :@0.095603:0.592519:0.247831:0.592519:0.247831:0.577620:0.095603:0.577620:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
C:@0.112925:0.592519:0.121938:0.592519:0.121938:0.577646:0.112925:0.577646:0.000000
matriz tiene una :@0.135625:0.607607:0.247832:0.607607:0.247832:0.592708:0.135625:0.592708:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y solamente una matriz :@0.088149:0.622695:0.247829:0.622695:0.247829:0.607796:0.088149:0.607796:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
inversa.:@0.194560:0.637782:0.244164:0.637782:0.244164:0.622883:0.194560:0.622883:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Si   y   son matrices :@0.109089:0.656428:0.247832:0.656428:0.247832:0.641529:0.109089:0.641529:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
A B:@0.124032:0.656428:0.155778:0.656428:0.155778:0.641554:0.124032:0.641554:0.000000:0.000000:0.000000
invertibles del mismo :@0.100813:0.671516:0.247832:0.671516:0.247832:0.656617:0.100813:0.656617:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
tamaño, entonces   · :@0.093007:0.686603:0.236121:0.686603:0.236121:0.671704:0.093007:0.671704:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
A B:@0.216872:0.686603:0.244162:0.686603:0.244162:0.671729:0.216872:0.671729:0.000000:0.000000:0.000000
es invertible.:@0.160502:0.701691:0.244162:0.701691:0.244162:0.686792:0.160502:0.686792:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
(  ·  )  = :@0.131521:0.716778:0.194660:0.716791:0.194660:0.701892:0.131521:0.701879:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
A B:@0.135960:0.716778:0.163250:0.716778:0.163250:0.701905:0.135960:0.701905:0.000000:0.000000:0.000000
–1:@0.167689:0.711294:0.177338:0.711294:0.177338:0.702607:0.167689:0.702607:0.000000:0.000000
B:@0.194660:0.716791:0.202701:0.716791:0.202701:0.701917:0.194660:0.701917:0.000000
–1:@0.202701:0.711294:0.212351:0.711294:0.212351:0.702607:0.202701:0.702607:0.000000:0.000000
 · :@0.212351:0.716791:0.222603:0.716791:0.222603:0.701892:0.212351:0.701892:0.000000:0.000000:0.000000
A:@0.222603:0.716791:0.231599:0.716791:0.231599:0.701917:0.222603:0.701917:0.000000
–1:@0.231599:0.711294:0.241249:0.711294:0.241249:0.702607:0.231599:0.702607:0.000000:0.000000
.:@0.241249:0.716791:0.244164:0.716791:0.244164:0.701892:0.241249:0.701892:0.000000
Si   es una matriz :@0.127550:0.735437:0.247831:0.735437:0.247831:0.720538:0.127550:0.720538:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
A:@0.142493:0.735437:0.151489:0.735437:0.151489:0.720563:0.142493:0.720563:0.000000
invertible, se cumple: :@0.080593:0.750524:0.225517:0.750524:0.225517:0.735625:0.080593:0.735625:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
A:@0.225517:0.750524:0.234513:0.750524:0.234513:0.735651:0.225517:0.735651:0.000000
–1:@0.234514:0.745032:0.244164:0.745032:0.244164:0.736346:0.234514:0.736346:0.000000:0.000000
es invertible y (:@0.082137:0.765617:0.182197:0.765617:0.182197:0.750718:0.082137:0.750718:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
A:@0.182197:0.765617:0.191193:0.765617:0.191193:0.750743:0.182197:0.750743:0.000000
–1 –1:@0.191193:0.760120:0.214931:0.760120:0.214931:0.751433:0.191193:0.751433:0.000000:0.000000:0.000000:0.000000:0.000000
)  =  .:@0.200842:0.765617:0.244164:0.765617:0.244164:0.750718:0.200842:0.750718:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
A:@0.232253:0.765617:0.241249:0.765617:0.241249:0.750743:0.232253:0.750743:0.000000
A:@0.134368:0.784263:0.143365:0.784263:0.143365:0.769389:0.134368:0.769389:0.000000
n:@0.143504:0.778772:0.148543:0.778772:0.148543:0.770100:0.143504:0.770100:0.000000
 es invertible y :@0.148543:0.784269:0.247832:0.784269:0.247832:0.769370:0.148543:0.769370:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
( )  = (:@0.081299:0.799357:0.135763:0.799357:0.135763:0.784458:0.081299:0.784458:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
A:@0.085738:0.799357:0.094734:0.799357:0.094734:0.784483:0.085738:0.784483:0.000000
n:@0.094873:0.793859:0.099913:0.793859:0.099913:0.785188:0.094873:0.785188:0.000000
–1:@0.104352:0.793859:0.114002:0.793859:0.114002:0.785173:0.104352:0.785173:0.000000:0.000000
A:@0.135763:0.799357:0.144759:0.799357:0.144759:0.784483:0.135763:0.784483:0.000000
–1:@0.144758:0.793859:0.154408:0.793859:0.154408:0.785173:0.144758:0.785173:0.000000:0.000000
)  para :@0.154408:0.799357:0.200624:0.799357:0.200624:0.784458:0.154408:0.784458:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
n:@0.158847:0.793859:0.163887:0.793859:0.163887:0.785188:0.158847:0.785188:0.000000
n:@0.200624:0.799357:0.209268:0.799357:0.209268:0.784483:0.200624:0.784483:0.000000
:@0.212937:0.799885:0.226892:0.799885:0.226892:0.783879:0.212937:0.783879:0.000000
 N.:@0.226892:0.799357:0.244164:0.799357:0.244164:0.784458:0.226892:0.784458:0.000000:0.000000:0.000000
Para cualquier escalar :@0.101148:0.818003:0.247832:0.818003:0.247832:0.803104:0.101148:0.803104:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
λ ≠ 0, la matriz λ · :@0.117650:0.833090:0.235166:0.833090:0.235166:0.818191:0.117650:0.818191:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
A:@0.235166:0.833090:0.244162:0.833090:0.244162:0.818216:0.235166:0.818216:0.000000
es invertible :@0.152779:0.848178:0.237361:0.848178:0.237361:0.833279:0.152779:0.833279:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y:@0.237361:0.848178:0.244162:0.848178:0.244162:0.833304:0.237361:0.833304:0.000000
λ:@0.142155:0.874225:0.151260:0.874225:0.155729:0.858977:0.146624:0.858977:0.000000
λ:@0.202653:0.883986:0.211758:0.883986:0.216227:0.868738:0.207122:0.868738:0.000000
⋅:@0.154878:0.874225:0.159025:0.874225:0.159025:0.858977:0.154878:0.858977:0.000000
(:@0.136362:0.875800:0.141885:0.875800:0.141885:0.856313:0.136362:0.856313:0.000000
):@0.170991:0.875800:0.176514:0.875800:0.176514:0.856313:0.170991:0.856313:0.000000
=:@0.190167:0.874225:0.199272:0.874225:0.199272:0.858977:0.190167:0.858977:0.000000
⋅:@0.216687:0.874225:0.220833:0.874225:0.220833:0.858977:0.216687:0.858977:0.000000
−:@0.176834:0.865754:0.182111:0.865754:0.182111:0.856917:0.176834:0.856917:0.000000
−:@0.232342:0.867485:0.237619:0.867485:0.237619:0.858648:0.232342:0.858648:0.000000
A:@0.161333:0.874599:0.170239:0.874599:0.170239:0.859874:0.161333:0.859874:0.000000
A:@0.223145:0.874599:0.232051:0.874599:0.232051:0.859874:0.223145:0.859874:0.000000
1:@0.182064:0.865970:0.186755:0.865970:0.186755:0.857422:0.182064:0.857422:0.000000
1:@0.237572:0.867702:0.242262:0.867702:0.242262:0.859153:0.237572:0.859153:0.000000
1:@0.205291:0.866713:0.213385:0.866713:0.213385:0.851963:0.205291:0.851963:0.000000
     Matemática:@0.115206:0.496170:0.222747:0.496170:0.222747:0.479269:0.115206:0.479269:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000