Designed for early learners - children ages 3-6 years. It's a fresh, fun, fascinating way for your child to develop their language, numerical and co-ordination skills.
How to Pass Numerical Reasoning Tests: A Step-by-Step Guide to Learning Key Numeracy Skills
Numerical reasoning and data interpretation tests are routinely used in recruitment procedures. These tests represent a considerable challenge for many candidates, and the prospect of facing them can be daunting. How to Pass Numerical Reasoning Tests is a valuable resource for anyone who needs to brush up on their math skills. An overview of the basics is followed by a step-by-step guide to numerical tests, including fractions and decimals, rates, percentages and ratios, and proportions. This revised edition is full of useful tips to help the reader understand and answer questions without using a calculator.
The various chapters within this volume include a wide variety of applications that extend far beyond this limited perception. As part of the Reliable Lab Solutions series, Essential Numerical Computer Methods brings together chapters from volumes 210, 240, 321, 383, 384, 454, and 467 of Methods in Enzymology. These chapters provide a general progression from basic numerical methods to more specific biochemical and biomedical applications.
Numerical Time-Dependent Partial Differential Equations for Scientists and Engineers (CB)
It is the first text that in addition to standard convergence theory treats other necessary ingredients for successful numerical simulations of physical systems encountered by every practitioner. The book is aimed at users with interests ranging from application modeling to numerical analysis and scientific software development. It is strongly influenced by the authors research in in space physics, electrical and optical engineering, applied mathematics, numerical analysis and professional software development. The material is based on a year-long graduate course taught at the University of Arizona since 1989.
Economic Growth: Theory and Numerical Solution Methods
This is a book on deterministic and stochastic Growth Theory and the computational methods needed to produce numerical solutions. Exogenous and endogenous growth models are thoroughly reviewed. Special attention is paid to the use of these models for fiscal and monetary policy analysis. Modern Business Cycle Theory, the New Keynesian Macroeconomics, the class of Dynamic Stochastic General Equilibrium models, can be all considered as special cases of models of economic growth, and they can be analyzed by the theoretical and numerical procedures provided in the textbook.
