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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Rudrajit Sadhu

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Open access 2026

Unconstrained reformulation of sequential quadratic programming for solving optimization problems with linear equality constraints

The concept of a regularized gap function is employed to reformulate the constrained problem into an unconstrained one and a positive definite Hessian modification along with a backtracking line search is incorporated to promote global convergence.

S. Chakraborty, M. Samei, Rudrajit Sadhu · 0 citations

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