gradient method वाक्य
उदाहरण वाक्य
मोबाइल
- For non-differentiable functions, gradient methods are ill-defined.
- Examples of gradient method are the gradient descent and the conjugate gradient.
- One example of the former is conjugate gradient method.
- His most important contribution is the introduction of the gradient method in quantum chemistry.
- Together with Cornelius Lanczos and Eduard Stiefel, he invented the conjugate gradient method.
- Specific choices lead to various methods including the conjugate gradient method and Gaussian elimination.
- The rotation matrix can be recovered using gradient methods likes those in the SIFT descriptor.
- GMRES and the conjugate gradient method.
- Evolutionary methods led the way in the exploration of non-gradient methods for MDO applications.
- The conjugate gradient method can also be used to solve unconstrained optimization problems such as energy minimization.
- For problems with linear constraints and a nonlinear objective, a reduced-gradient method is used.
- The first step was replacing the direct solvers by iterative solvers such as the conjugate gradient method.
- In reinforcement learning applications LSTM can be trained by policy gradient methods, evolution strategies or genetic algorithms.
- For large systems, an iterative method, such as the conjugate gradient method, may be more efficient.
- Hydraulics includes a specific symbol library and uses modeling techniques such the Bernoulli s law and the gradient method.
- The remaining Schur complement system on the unknowns associated with subdomain interfaces is solved by the conjugate gradient method.
- His greatest scientific achievement is the invention of Temperature Gradient Method for quenching intensity measuring, recording and evaluation.
- The discrete pressure equation is solved numerically with a fast elliptic solver in conjunction with a generalized conjugate gradient method.
- In later years, he began focusing on numerical linear algebra, in particular conjugate gradient methods and their taxonomy.
- Proximal gradient methods provide a general framework which is applicable to a wide variety of problems in statistical learning theory.
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