PLAM: A Posit Logarithm-Approximate Multiplier

An Approximate Lagrange Multiplier Rule

In this paper, we show that for a large class of optimization problems, the Lagrange multiplier rule can be derived from the so-called approximate multiplier rule. In establishing the link between the approximate and the exact multiplier rule we first derive an approximate multiplier rule for a very general class of optimization problems using the approximate sum rule and the chain rule. We als...

Plam: ProLog and Algebraic Modelling

Algebraic modelling is an important technique in practical applications that require to formulate and to solve a mathematical programming problem. We show how the basic functionality of algebraic modelling systems can be realised very easily in a logic programming system like Prolog. Moreover, we illustrate the additional power of using logic programming in cases where the built-in constructs o...

Approximate Solutions of Equations Defined by Complex Spherical Multiplier Operators

Design of Approximate Multiplier for Error-Tolerant Applications

CMOS scaling has reached to the level, where process variation has become significant problem hindering further scaling. Various approaches to mitigate process variation effect try to nullify at the cost of increased area/power consumption. There are some applications which accept small errors such as multimedia processing. Designing accurate circuit for these applications is waste of area/powe...

PLAM -- a meteorological pollution index for air quality

Introduction Conclusions References Tables Figures