Sage Reference Manual: Numerical Optimization - Mirrors

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Sage Reference Manual: Numerical Optimization, Release 6.1.1 EXAMPLE: sage: from sage.numerical.backends.generic_backend import get_solver sage: p = get_solver(solver = "Nonexistent_LP_solver") # optional - Nonexistent_LP_solver sage: p.ncols() # optional - Nonexistent_LP_solver 0 sage: p.add_variable() # optional - Nonexistent_LP_solver 1 sage: p.set_variable_type(0,0) # optional - Nonexistent_LP_solver sage: p.is_variable_binary(0) # optional - Nonexistent_LP_solver True is_variable_continuous(index) Test whether the given variable is of continuous/real type. INPUT: •index (integer) – the variable’s id EXAMPLE: sage: from sage.numerical.backends.generic_backend import get_solver sage: p = get_solver(solver = "Nonexistent_LP_solver") # optional - Nonexistent_LP_solver sage: p.ncols() # optional - Nonexistent_LP_solver 0 sage: p.add_variable() # optional - Nonexistent_LP_solver 1 sage: p.is_variable_continuous(0) # optional - Nonexistent_LP_solver True sage: p.set_variable_type(0,1) # optional - Nonexistent_LP_solver sage: p.is_variable_continuous(0) # optional - Nonexistent_LP_solver False is_variable_integer(index) Test whether the given variable is of integer type. INPUT: •index (integer) – the variable’s id EXAMPLE: sage: from sage.numerical.backends.generic_backend import get_solver sage: p = get_solver(solver = "Nonexistent_LP_solver") # optional - Nonexistent_LP_solver sage: p.ncols() # optional - Nonexistent_LP_solver 0 sage: p.add_variable() # optional - Nonexistent_LP_solver 1 sage: p.set_variable_type(0,1) # optional - Nonexistent_LP_solver sage: p.is_variable_integer(0) # optional - Nonexistent_LP_solver True ncols() Return the number of columns/variables. EXAMPLE: sage: from sage.numerical.backends.generic_backend import get_solver sage: p = get_solver(solver = "Nonexistent_LP_solver") # optional - Nonexistent_LP_solver sage: p.ncols() # optional - Nonexistent_LP_solver 0 sage: p.add_variables(2) # optional - Nonexistent_LP_solver 54 Chapter 5. LP Solver backends
Sage Reference Manual: Numerical Optimization, Release 6.1.1 2 sage: p.ncols() 2 # optional - Nonexistent_LP_solver nrows() Return the number of rows/constraints. EXAMPLE: sage: from sage.numerical.backends.generic_backend import get_solver sage: p = get_solver(solver = "Nonexistent_LP_solver") # optional - Nonexistent_LP_solver sage: p.nrows() # optional - Nonexistent_LP_solver 0 sage: p.add_linear_constraints(2, 2.0, None) # optional - Nonexistent_LP_solver sage: p.nrows() # optional - Nonexistent_LP_solver 2 objective_coefficient(variable, coeff=None) Set or get the coefficient of a variable in the objective function INPUT: •variable (integer) – the variable’s id •coeff (double) – its coefficient EXAMPLE: sage: from sage.numerical.backends.generic_backend import get_solver sage: p = get_solver(solver = "Nonexistent_LP_solver") # optional - Nonexistent_LP_solver sage: p.add_variable() # optional - Nonexistent_LP_solver 1 sage: p.objective_coefficient(0) # optional - Nonexistent_LP_solver 0.0 sage: p.objective_coefficient(0,2) # optional - Nonexistent_LP_solver sage: p.objective_coefficient(0) # optional - Nonexistent_LP_solver 2.0 problem_name(name=’NULL’) Return or define the problem’s name INPUT: •name (char *) – the problem’s name. When set to NULL (default), the method returns the problem’s name. EXAMPLE: sage: from sage.numerical.backends.generic_backend import get_solver sage: p = get_solver(solver = "Nonexistent_LP_solver") # optional - Nonexistent_LP_solver sage: p.problem_name("There once was a french fry") # optional - Nonexistent_LP_solver sage: print p.get_problem_name() # optional - Nonexistent_LP_solver There once was a french fry remove_constraint(i) Remove a constraint. INPUT: - ‘‘i‘‘ -- index of the constraint to remove. EXAMPLE: 5.1. Generic Backend for LP solvers 55
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Sage Reference Manual: Numerical Op
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CHAPTER ONE KNAPSACK PROBLEMS This
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Page 13 and 14: CHAPTER TWO MIXED INTEGER LINEAR PR
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Page 45 and 46: CHAPTER FOUR NUMERICAL ROOT FINDING
Page 53 and 54: CHAPTER FIVE LP SOLVER BACKENDS 5.1
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Page 107 and 108: CHAPTER SIX INDICES AND TABLES •
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BIBLIOGRAPHY [HPS08] J. Hoffstein,
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PYTHON MODULE INDEX n sage.numerica
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INDEX A add_col() (sage.numerical.b
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