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  2. Differential dynamic programming - Wikipedia

    en.wikipedia.org/wiki/Differential_Dynamic...

    Sampled differential dynamic programming (SaDDP) is a Monte Carlo variant of differential dynamic programming. [8] [9] [10] It is based on treating the quadratic cost of differential dynamic programming as the energy of a Boltzmann distribution. This way the quantities of DDP can be matched to the statistics of a multidimensional normal ...

  3. Range of a projectile - Wikipedia

    en.wikipedia.org/wiki/Range_of_a_projectile

    The first solution corresponds to when the projectile is first launched. The second solution is the useful one for determining the range of the projectile. Plugging this value for (t) into the horizontal equation yields = ⁡ ⁡ Applying the trigonometric identity

  4. Projectile motion - Wikipedia

    en.wikipedia.org/wiki/Projectile_motion

    In projectile motion, the horizontal motion and the vertical motion are independent of each other; that is, neither motion affects the other. This is the principle of compound motion established by Galileo in 1638, [ 1 ] and used by him to prove the parabolic form of projectile motion.

  5. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...

  6. Falling cat problem - Wikipedia

    en.wikipedia.org/wiki/Falling_cat_problem

    A solution of the falling cat problem is a curve in the configuration space that is horizontal with respect to the connection (that is, it is admissible by the physics) with prescribed initial and final configurations. Finding an optimal solution is an example of optimal motion planning. [11] [12]

  7. Inverse kinematics - Wikipedia

    en.wikipedia.org/wiki/Inverse_kinematics

    An analytic solution to an inverse kinematics problem is a closed-form expression that takes the end-effector pose as input and gives joint positions as output, = (). Analytical inverse kinematics solvers can be significantly faster than numerical solvers and provide more than one solution, but only a finite number of solutions, for a given end ...

  8. Pebble motion problems - Wikipedia

    en.wikipedia.org/wiki/Pebble_motion_problems

    Finding the shortest solution sequence in the pebble motion on graphs problem (with labeled pebbles) is known to be NP-hard [6] and APX-hard. [3] The unlabeled problem can be solved in polynomial time when using the cost metric mentioned above (minimizing the total number of moves to adjacent vertices), but is NP-hard for other natural cost ...

  9. Stokes problem - Wikipedia

    en.wikipedia.org/wiki/Stokes_problem

    The horizontal velocity is the blue line, and the corresponding horizontal particle excursions are the red dots. The case for an oscillating far-field flow, with the plate held at rest, can easily be constructed from the previous solution for an oscillating plate by using linear superposition of solutions.