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                    | Sinha S.M. — Mathematical Programming: Theory and Methods |  
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                    | Предметный указатель |  
                    | | Stochastic linear programming, two stage problems      432 Stochastic linear programming, wait and see      432
 Subspaces      27
 Supporting hyperplane      83
 Supremum of functions      21
 Surplus variable      120
 Symmetric martix      57
 Symmetric martix, cannonical form      59
 Symmetric martix, gram matrix      58
 Symmetric martix, index      59
 Symmetric martix, negative definite      57
 Symmetric martix, positive definite      57
 Symmetric martix, positive semidefinite      57
 Symmetric martix, signature      59
 System of linear equations      63 68
 System of linear equations, the matrix of the system      63
 Taylor's theorem      24
 The Archimedian good programming      463
 The inverse matrix      46
 The inverse matrix, inversion by partitioning      47
 The inverse matrix, product form of the inverse      48
 The inverse matrix, properties of the inverse      47
 The linear complentarity problem      356
 Theorem      185
 Theorem, weak      185
 topology      16
 Transhipment problem      266
 Transhipment problem, capacitated transportation problem      272
 
 | Transhipment problem, generalized      274 Transportation problem      245
 Transportation problem, balanced transportation problem      246
 Transportation problem, degeneracy      258
 Transportation problem, optimality criterion      256
 Transportation problem, transportation algorithm      257
 Transportation problem, transportation array      247
 Transportation problem, unbalanced transportation problem      262
 Tucker's theorem      74
 Twice-differentiable functions      24
 Two-phase method      145
 Unitary space      34
 Upper bound      236
 Usable      380
 Vector spaces      26
 Vectors      15
 Vectors, addition of vectors      16
 Vectors, distance between vectors      16
 Vectors, inner product      16
 Vectors, multiplication by a scalar      16
 Vectors, norm or length of a vector      16
 Vectors, null vector      16
 Vectors, orthogonal      16
 Vectors, scalar product      16
 Vectors, sum vector      16
 Vectors, unit vector      16
 von Neuman      2
 Wolfe, P.      3
 
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