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  2. Sequential quadratic programming - Wikipedia

    en.wikipedia.org/wiki/Sequential_quadratic...

    Sequential quadratic programming (SQP) is an iterative method for constrained nonlinear optimization which may be considered a quasi-Newton method. SQP methods are used on mathematical problems for which the objective function and the constraints are twice continuously differentiable , but not necessarily convex.

  3. All India Secondary School Examination - Wikipedia

    en.wikipedia.org/wiki/All_India_Secondary_School...

    All India Secondary School Examination, commonly known as the class 10th board exam, is a centralized public examination that students in schools affiliated with the Central Board of Secondary Education, primarily in India but also in other Indian-patterned schools affiliated to the CBSE across the world, taken at the end of class 10. The board ...

  4. Sequential linear-quadratic programming - Wikipedia

    en.wikipedia.org/wiki/Sequential_linear...

    in SQP, each subproblem is a quadratic program, with a quadratic model of the objective subject to a linearization of the constraints in SLQP, two subproblems are solved at each step: a linear program (LP) used to determine an active set , followed by an equality-constrained quadratic program (EQP) used to compute the total step

  5. Quadratic programming - Wikipedia

    en.wikipedia.org/wiki/Quadratic_programming

    Quadratic programming (QP) is the process of solving certain mathematical optimization problems involving quadratic functions.Specifically, one seeks to optimize (minimize or maximize) a multivariate quadratic function subject to linear constraints on the variables.

  6. Interior-point method - Wikipedia

    en.wikipedia.org/wiki/Interior-point_method

    An interior point method was discovered by Soviet mathematician I. I. Dikin in 1967. [1] The method was reinvented in the U.S. in the mid-1980s. In 1984, Narendra Karmarkar developed a method for linear programming called Karmarkar's algorithm, [2] which runs in provably polynomial time (() operations on L-bit numbers, where n is the number of variables and constants), and is also very ...

  7. List of numerical analysis topics - Wikipedia

    en.wikipedia.org/wiki/List_of_numerical_analysis...

    Ross–Fahroo pseudospectral method — class of pseudospectral method including Chebyshev, Legendre and knotting; Ross–Fahroo lemma — condition to make discretization and duality operations commute; Ross' π lemma — there is fundamental time constant within which a control solution must be computed for controllability and stability

  8. Secondary School Certificate - Wikipedia

    en.wikipedia.org/wiki/Secondary_School_Certificate

    Secondary School Certificate is a public exam for classes 9 and 10 separately. Class 9 exam is called SSC part-1 and class 10 exam is called SSC part-2. This exam is conducted by government boards, officially known as Boards of Intermediate and Secondary Education, or simply BISE.

  9. Limited-memory BFGS - Wikipedia

    en.wikipedia.org/wiki/Limited-memory_BFGS

    Limited-memory BFGS (L-BFGS or LM-BFGS) is an optimization algorithm in the family of quasi-Newton methods that approximates the Broyden–Fletcher–Goldfarb–Shanno algorithm (BFGS) using a limited amount of computer memory. [1]