In this monograph, leading researchers in the world ofnumerical analysis, partial differential equations, and hard computationalproblems study the properties of solutions of the NavierStokespartial differential equations on (x, y, z,t) 3 × [0,T]. Initially converting the PDE to asystem of integral equations, the authors then describe spacesA of analytic functions that housesolutions of this equation, and show that these spaces of analytic functionsare dense in the spacesS of rapidlydecreasing and infinitely differentiable functions. This method benefits fromthe following advantages:

The functions of S are nearly always conceptual rather than explicitInitial and boundary conditions of solutions of PDE are usually drawn from the applied sciences, and as such, they are nearly always piece-wise analytic, and in this case, the solutions have the same propertiesWhen methods ofapproximation are applied to functions ofA they converge at an exponential rate, whereas methods of approximation applied to the functions ofS converge only at a polynomial rateEnables sharper bounds on the solution enabling easier existence proofs, and a more accurate and more efficient method of solution, including accurate error bounds

Following the proofs of denseness, the authors prove theexistence of a solution of the integral equations in the space of functionsA 3 × [0,T], and provide an explicit novelalgorithm based on Sinc approximation and Picardlike iteration for computingthe solution. Additionally, the authors include appendices that provide acustom Mathematica program for computing solutions based on the explicitalgorithmic approximation procedure, and which supply explicit illustrations ofthese computed solutions.

Preface.- Introduction, PDE, and IE Formulations.- Spaces of Analytic Functions.- Spaces of Solution of the NS Equations.- Proof of Convergence of Iteration 1.6.3.- Numerical Methods for Solving NS Equations.- Sinc Convolution Examples.- Implementation Notes.- Result Notes.