Graphing linear functions Graphing linear functions This section focuses on the key features and methods for working with linear graphs. It demonstrates how to sketch graphs from rules, derive rules ...

W. G. Cochran, Experiments for Nonlinear Functions, Journal of the American Statistical Association, Vol. 68, No. 344 (Dec., 1973), pp. 771-781 ...

The method of nonlinear conjugate gradients (NCG) is widely used in practice for unconstrained optimization, but it satisfies weak complexity bounds at best when applied to smooth convex functions. In ...

Lookup tables and Taylor series are two common methods for interpolating between experimentally gathered data or for generating a known function such as a sine wave. This article proposes a third ...

Almost perfect nonlinear (APN) functions play a pivotal role in cryptography, particularly in securing symmetric key algorithms against differential attacks. Their algebraic properties, including ...

Nonlinear networks are often multistable, exhibiting coexisting stable states with competing regions of attraction (ROAs). As a result, ROAs can have complex “tentacle-like” morphologies that are ...

The Review of Economics and Statistics, Vol. 80, No. 3 (Aug., 1998), pp. 444-453 (10 pages) The paper is concerned with developing a production theory for the case when some inputs have nonlinear ...

This paper proposes a control design approach for stabilizing nonlinear control systems. Our key observation is that the set of points where the decrease condition of a control Lyapunov function (CLF) ...