The　Jiles-Atherton　model　was　widely　used　in　the　description　of　the　system　with　hysteresis,　and　the　solution　for　the　model　was　important　for　real-time　and　high-precision　control.　The　secant　method　was　used　for　solving　anhysteretic　magnetization　and　its　initial　values　were　optimized　for　faster　convergence.　Then,　the　Fourth　Order　Runge-Kutta　method　was　employed　to　solve　magnetization　and　the　required　computation　cycles　were　supplied　for　stable　results.　Based　on　the　solving　method,　the　effect　of　the　nonzero　initial　magnetic　field　on　the　magnetization　was　discussed,　including　the　commonly　used　linear　model　of　the　square　of　magnetization　under　the　medium　initial　value.　From　computations,　the　proposed　secant　iteration　method,　with　supplied　optimal　initial　values,　greatly　reduced　the　iterative　steps　compared　to　the　fixed-point　iteration.　Combined　with　the　Fourth　Order　Runge-Kutta　method　under　more　than　three　cycles　of　calculations,　stable　hysteresis　results　with　controllable　precisions　were　acquired.　Adjusting　the　initial　magnetic　field　changed　the　result　of　the　magnetization,　which　was　helpless　to　promote　the　amplitude　or　improve　the　symmetry　of　magnetization.　Furthermore,　the　linear　model　of　the　square　of　magnetization　was　unacceptable　for　huge　computational　errors.　The　proposed　numerical　solving　method　can　supply　fast　and　high-precision　solutions　for　the　Jiles-Atherton　model　and　provide　a　basis　for　the　application　scope　of　typical　linear　assumption.