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Incompressible Navier-Stokes, heat transfer, convection-diffusion-reaction, linear elasticity, electromagnetics, pressure acoustics, Darcy's law, and support for custom PDE equations Miniapps and examples for Laplace, elasticity, Maxwell, Darcy, advection, Euler, Helmholtz, and others The tutorial provides examples for many different equations
The case where the system dynamics are described by a set of linear differential equations and the cost is described by a quadratic function is called the LQ problem. One of the main results in the theory is that the solution is provided by the linear–quadratic regulator (LQR), a feedback controller whose equations are given below.
Linear-quadratic regulator rapidly exploring random tree (LQR-RRT) is a sampling based algorithm for kinodynamic planning. A solver is producing random actions which are forming a funnel in the state space. The generated tree is the action sequence which fulfills the cost function.
Given a transformation between input and output values, described by a mathematical function, optimization deals with generating and selecting the best solution from some set of available alternatives, by systematically choosing input values from within an allowed set, computing the output of the function and recording the best output values found during the process.
MOSEK is a software package for the solution of linear, mixed-integer linear, quadratic, mixed-integer quadratic, quadratically constrained, conic and convex nonlinear mathematical optimization problems. The applicability of the solver varies widely and is commonly used for solving problems in areas such as engineering, finance and computer ...
Linear-quadratic regulator — system dynamics is a linear differential equation, objective is quadratic; Linear-quadratic-Gaussian control (LQG) — system dynamics is a linear SDE with additive noise, objective is quadratic Optimal projection equations — method for reducing dimension of LQG control problem
The Kalman filter, the linear-quadratic regulator, and the linear–quadratic–Gaussian controller are solutions to what arguably are the most fundamental problems of control theory. In most applications, the internal state is much larger (has more degrees of freedom ) than the few "observable" parameters which are measured.
Solid 3D linear and quadratic elements (tetrahedral, hexahedral, pentahedral). Linear and quadratic shell elements that can be free, or placed on top or between solid elements. Multiphasic mechanics. Biphasic, biphasic-solute, triphasic (two solutes), and multiphasic materials with multiple solutes. Steady-state or transient analysis conditions.