# Are you wondering where to get computational techniques assignment help? We offer high-quality solutions.

Don’t struggle with your computational techniques assignment when you can get the best solutions from us. We offer computational techniques assignment help to students from all over the world. We have a team of experienced tutors who work day and night to ensure that students get their assignments on time. We ensure reliability by offering timely and original solutions to our students. Therefore, if you are looking for a team that can guarantee you an A in your assignment, think about us.
The exhaustive list of topics in Computational Techniques in which we provide Help with Homework Assignment and Help with Project is as follows:

• Mathematical Models in Chemical Engineering
• Examples of linear and nonlinear algebraic equations
• Examples of ODE-IVP and ODE-BVP.
• PDEs: examples, classification.
• Model parameter estimation problem
• Review of abstract equation forms
• Concept of iterative solution approach.
• Fundamentals of Analysis
• Generalized concepts of vector space, sub-space, linear dependence.
• Concept of basis, dimension, norm defined on a general vector spaces.
• Examples of norms defined on different vector spaces, matrix norms.
• Inner product in a general vector space and orthogonal sets.
• Gram-Schmidt process and generation of orthogonal basis
• Well known orthogonal basis (Legandre polynomials, Laguerre polynomials etc.).
• Taylor series and polynomial approximations and their applications in numerical analysis.
• Problems classification, transformation and basic tools of numerical analysis.
• Linear Algebraic Equations and Related Numerical Schemes
• System of linear algebraic equations
• Conditions for existence of solution - geometric interpretations
• Classification of solution approaches.
• Direct methods: Review of Gaussian elimination
• L-U decomposition and Gauss-Jordan method.
• Motivation for sparse linear systems: solution of linear ODE-BVP / PDE using finite difference method.
• Motivation for sparse linear systems: Interpolation
• Cubic spline interpolation.
• Methods for sparse linear systems: Thomas algorithm
• Triangular systems.
• Iterative methods: Jacobi, Gauss-Siedel and successive over-relaxation methods.
• Convergence of iterative solution scheme for linear algebraic equations.
• Matrix conditioning, well conditioned and ill-conditioned linear systems.
• Nonlinear algebraic equations- Motivation: basics of orthogonal collocation.
• Nonlinear algebraic equations- Motivation: Solution of nonlinear ODE-BVP / PDE using orthogonal collocation.
• Nonlinear algebraic equations: derivative free iterative solution approaches (successive substitutions, Wegsteine iterations etc.).
• Newton Raphson method and its variations.
• ODE-IVP and Related Numerical Schemes
• Motivation: dynamic modeling and simulation of lumped parameter systems
• Motivation: Solving ODE-BVP using shooting method, solving PDE by converting to ODE-IVP using finite difference / orthogonal collocations
• Basic concepts in numerical solutions of ODE-IVP: step size, variable step size with accuracy monitoring, stiffness, concept of implicit and explicit methods
• Taylor series approximation and Runge-Kutta methods: derivation and examples
• Multi-step (predictor-corrector) approaches: derivations and examples
• Stability of ODE-IVP solvers, choice of step size and stability envelopes
• Introduction to Differential Algebraic system of equations
• Unconstrained Optimization and Related Numerical Schemes
• Parameter estimation problems in chemical engineering and their classification, approximations and interpolation, formulation of least square parameter estimation problem
• Necessary and sufficient conditions for unconstrained multivariate optimization
• Derivation of linear least square method (multivariate regression) through algebraic and geometric viewpoint (through projections), weighted least square
• Statistical interpretations of linear least square solution
• Nonlinear in parameter models: Gauss - Newton method