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  2. Reverse mathematics - Wikipedia

    en.wikipedia.org/wiki/Reverse_mathematics

    Reverse mathematics is a program in mathematical logic that seeks to determine which axioms are required to prove theorems of mathematics. Its defining method can briefly be described as "going backwards from the theorems to the axioms ", in contrast to the ordinary mathematical practice of deriving theorems from axioms.

  3. Glossary of mathematical symbols - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_mathematical...

    A mathematical symbol is a figure or a combination of figures that is used to represent a mathematical object, an action on mathematical objects, a relation between mathematical objects, or for structuring the other symbols that occur in a formula.

  4. Backward differentiation formula - Wikipedia

    en.wikipedia.org/wiki/Backward_differentiation...

    The backward differentiation formula (BDF) is a family of implicit methods for the numerical integration of ordinary differential equations.They are linear multistep methods that, for a given function and time, approximate the derivative of that function using information from already computed time points, thereby increasing the accuracy of the approximation.

  5. Backward chaining - Wikipedia

    en.wikipedia.org/wiki/Backward_chaining

    An example of backward chaining. If X croaks and X eats flies – Then X is a frog; If X chirps and X sings – Then X is a canary; If X is a frog – Then X is green; If X is a canary – Then X is yellow; With backward reasoning, an inference engine can determine whether Fritz is green in four steps.

  6. Forward–backward algorithm - Wikipedia

    en.wikipedia.org/wiki/Forward–backward_algorithm

    The first pass goes forward in time while the second goes backward in time; hence the name forward–backward algorithm. The term forward–backward algorithm is also used to refer to any algorithm belonging to the general class of algorithms that operate on sequence models in a forward–backward manner. In this sense, the descriptions in the ...

  7. Backpropagation - Wikipedia

    en.wikipedia.org/wiki/Backpropagation

    For backpropagation, the activation as well as the derivatives () ′ (evaluated at ) must be cached for use during the backwards pass. The derivative of the loss in terms of the inputs is given by the chain rule; note that each term is a total derivative, evaluated at the value of the network (at each node) on the input :

  8. Watch: Patrick Mahomes makes behind-the-back pass after ... - AOL

    www.aol.com/watch-patrick-mahomes-picks-first...

    Kansas City Chiefs quarterback Patrick Mahomes' spectacular behind-the-back pass to tight end Travis Kelce is an early candidate for the play of the week but says the highlight was actually caused ...

  9. Miller's recurrence algorithm - Wikipedia

    en.wikipedia.org/wiki/Miller's_recurrence_algorithm

    To compute the terms of a recurrence through according to Miller's algorithm, one first chooses a value much larger than and computes a trial solution taking initial condition to an arbitrary non-zero value (such as 1) and taking + and later terms to be zero.