HD64F38024DV Renesas Electronics America, HD64F38024DV Datasheet - Page 602

IC H8/SLP MCU FLASH 80QFP

HD64F38024DV

Manufacturer Part Number
HD64F38024DV
Description
IC H8/SLP MCU FLASH 80QFP
Manufacturer
Renesas Electronics America
Series
H8® H8/300L SLPr
Datasheets

Specifications of HD64F38024DV

Core Processor
H8/300L
Core Size
8-Bit
Speed
10MHz
Connectivity
SCI
Peripherals
LCD, PWM, WDT
Number Of I /o
51
Program Memory Size
32KB (32K x 8)
Program Memory Type
FLASH
Ram Size
1K x 8
Voltage - Supply (vcc/vdd)
1.8 V ~ 5.5 V
Data Converters
A/D 8x10b
Oscillator Type
Internal
Operating Temperature
-40°C ~ 85°C
Package / Case
80-QFP
Lead Free Status / RoHS Status
Lead free / RoHS Compliant
Eeprom Size
-

Available stocks

Company
Part Number
Manufacturer
Quantity
Price
Part Number:
HD64F38024DV
Manufacturer:
Renesas Electronics America
Quantity:
10 000
23. float_complex pow(const float_complex& x, int y)
24. float_complex sin(const float_complex& x)
25 float_complex sinh (const float_complex& x)
26. float_complex sqrt(const float_complex& x)
27. float_complex tan(const float_complex& x)
28. float_complex tanh(const float_complex& x)
588
float_complex pow(const float_complex& x, const float& y)
float_complex pow(const float_complex& x, const float_complex& y)
float_complex pow(const float& x, const float_complex& y)
Calculates the x to the yth power.
If pow(0,0), a domain error will occur.
Return value: For float_complex pow (const float_complex& x,const float_complex& y):
Calculates the complex sine.
Return value: float_complex(sinf(x.real( ))*coshf(x.imag( )), cosf(x.real( ))*sinhf(x.imag( )))
Calculates the complex hyperbolic sine.
Return value: float_complex(0,-1)*sin(float_complex((-1)*x.imag( ),x.real( )))
Calculates the square root within the right half space.
Return value: float_complex(sqrtf(abs(x))*cosf(arg (x)/2, sqrtf(abs(x))*sinf(arg(x)/2))
Calculates the complex tangent.
Return value: sin(x) / cos(x)
Calculates the complex hyperbolic tangent.
Return value: sinh(x) / cosh(x)
exp(y*logf(x))
Otherwise: exp(y*log(x))

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