A Collection of Problems in Differential Calculus: Problems from Calculus I Final Examinations, 2000-2020 Department of Mathematics, Simon Fraser University. Veselin Jungic -- Petra Menz -- Randall ...

Linear approximation is a method used to estimate the value of a function near a given point using the tangent line at that point. This technique simplifies complex functions into a linear form ...

Another advantage of approximation algorithms is that they can sometimes be combined or improved with other techniques, such as randomized algorithms, local search, or linear programming. Add your ...

Solution to strongly nonlinear parabolic problems by a linear approximation scheme Abstract: A nonlinear parabolic problem is solved by a linear approximation scheme using a nonstandard time ...

Formulate linear and integer programming problems for solving commonly encountered optimization problems. Understand how approximation algorithms compute solutions that are guaranteed to be within ...

We design a linear time approximation scheme for the Gale-Berlekamp Switching Game and generalize it to a wider class of dense fragile minimization problems including the Nearest Codeword Problem (NCP ...

This paper considers the problem of finite dimensional approximation of the dual problem in abstract linear programming approach to control system design. A constraint qualification that guarantees ...

We will survey recent work in the design of approximation algorithms for several discrete stochastic optimization problems, with a particular focus on 2-stage problems with recourse. In each of the ...

A Collection of Problems in Differential Calculus: Problems from Calculus I Final Examinations, 2000-2020 Department of Mathematics, Simon Fraser University. Veselin Jungic ... Section 6.10 Linear ...