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In this paper we study optimization problems with variational inequality constraints in finite dimensional spaces. Kuhn-Tucker type necessary optimality conditions involving coderivatives are given ...

Did you consider yourself a mathematician the last time you sat down to solve a Sudoku puzzle? It’s certainly a mentally ...

Ising machines are next-generation computers expected to efficiently sample near-optimal solutions of combinatorial optimization problems. Combinatorial optimization problems are modeled as quadratic ...

Graph-structured combinatorial problems in complex networks are prevalent in many domains, and are computationally demanding due to their complexity and non-linear nature. Traditional evolutionary ...

Optimization can progress from linear tradeoffs to network flow, constraints, and multi-variable optimization. Game theory can get quickly to Nash equilibria and strategy modeling. The key is to ...

Normal Computing announces CN101, the world’s first thermodynamic computing chip The startup says its approach supports ...

Quantum computers hold the potential of solving some optimization and data processing problems that cannot be tackled by ...

I’ve been keeping track of AI since the early 1970s when I read a book, “The Sciences of the Artificial” by Herbert A. Simon, ...

Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...