Description
Integer Linear Programming (ILP) is a variant of linear programming in which inputs and solutions may only involve linear constraints. ILP is known to be NPhard, but various approaches such as cuttingplanes and branchandcut can still give good performance on many practical problems.<br/><br/>A great many combinatorial optimization problems can be reduced to ILP, making it a very important problem.<br/><br/>Formally, the input to the problem is an integer matrix A and integer vectors c and b. The goal is to find a value for the integer vector x subject to the following constraints:<br/><br/><img src="https://upload.wikimedia.org/math/9/0/0/900129a564bcfa9ac3ad5611f4f5958a.png"/><br/><br/><a href="https://en.wikipedia.org/wiki/Integer_programming">https://en.wikipedia.org/wiki/Integer_programming</a><br/><a href="https://en.wikipedia.org/wiki/Cuttingplane_method">https://en.wikipedia.org/wiki/Cuttingplane_method</a><br/><a href="https://en.wikipedia.org/wiki/Branch_and_cut">https://en.wikipedia.org/wiki/Branch_and_cut</a><br/>

Integer Programming
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This is an algorithm for integer programming (also known as integer linear programming) built on the JaCoP Constraint Programming Solver ( https://github.com/radsz/jacop
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