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  2. Template:AMD Ryzen 5000 Series - Wikipedia

    en.wikipedia.org/wiki/Template:AMD_Ryzen_5000_Series

    Common features of Ryzen 5000 desktop CPUs: ... 5600: 3.5 4.4 Apr 4, 2022: US $199 PRO 5645 — 3.7 4.6 Sep 2022: OEM Template documentation. Common place ...

  3. Levenberg–Marquardt algorithm - Wikipedia

    en.wikipedia.org/wiki/Levenberg–Marquardt...

    [5] The LMA is used in many software applications for solving generic curve-fitting problems. By using the Gauss–Newton algorithm it often converges faster than first-order methods. [6] However, like other iterative optimization algorithms, the LMA finds only a local minimum, which is not necessarily the global minimum.

  4. Ryzen - Wikipedia

    en.wikipedia.org/wiki/Ryzen

    Furthermore, the upper-end models such as Ryzen 5 8600G and Ryzen 7 8700G feature "Ryzen AI", which is a neural processing unit (NPU) for artificial intelligence PC applications. [89] AMD claims that the integrated graphics in Ryzen 8000G APUs is capable of playing AAA games such as Cyberpunk 2077 and Far Cry 6 at 1080p low settings.

  5. Gurobi Optimizer - Wikipedia

    en.wikipedia.org/wiki/Gurobi_Optimizer

    Gurobi Optimizer is a prescriptive analytics platform and a decision-making technology developed by Gurobi Optimization, LLC. The Gurobi Optimizer (often referred to as simply, “Gurobi”) is a solver , since it uses mathematical optimization to calculate the answer to a problem.

  6. Trajectory optimization - Wikipedia

    en.wikipedia.org/wiki/Trajectory_optimization

    Depending on the configuration, open-chain robotic manipulators require a degree of trajectory optimization. For instance, a robotic arm with 7 joints and 7 links (7-DOF) is a redundant system where one cartesian position of an end-effector can correspond to an infinite number of joint angle positions, thus this redundancy can be used to optimize a trajectory to, for example, avoid any ...

  7. Powell's method - Wikipedia

    en.wikipedia.org/wiki/Powell's_method

    Powell's method, strictly Powell's conjugate direction method, is an algorithm proposed by Michael J. D. Powell for finding a local minimum of a function. The function need not be differentiable, and no derivatives are taken.

  8. Hyperparameter optimization - Wikipedia

    en.wikipedia.org/wiki/Hyperparameter_optimization

    In machine learning, hyperparameter optimization [1] or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process, which must be configured before the process starts.

  9. Davidon–Fletcher–Powell formula - Wikipedia

    en.wikipedia.org/wiki/Davidon–Fletcher–Powell...

    The Davidon–Fletcher–Powell formula (or DFP; named after William C. Davidon, Roger Fletcher, and Michael J. D. Powell) finds the solution to the secant equation that is closest to the current estimate and satisfies the curvature condition.

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