Inventions of bill gates

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Inventions of Bill Gates

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1- Bill Gates was born on October 28, 1955, in the city of Seattle, Washington. His parents’ names were William H. Gates II, who was a prominent lawyer in Seattle, and his deceased mother, Mary Gates, who was a former school teacher and was very well connected. Also, Bill Gates had two sisters, Kristianne, who is the eldest and Libby. Mary played an integral role in Bill Gates’ entrepreneurial life. She was a University of Washington regent and sat in the board for United Way International. The CEO of IBM also happened to sit in this board with Mary, which later became the connection of a lifetime. Bill would often go to these volunteer meetings with his mother. Although Gates’ parents hoped for a law career for their son, Bill showed great interest in computers at the age of only thirteen! His first encounter with a computer was at the Lakeside School. A company called the Computer Center Corporation, leased computers from Digital Equipment Corporation. The school then decided to provide their students with some computer time and this is when Bill Gates found his passion for the first time. Gates met a new friend who would later be his first business partner. His name was Paul Allen. He was two years older than Gates but they certainly shared the same passion for computers. In his teens, Gates had already built a program that allowed people to play tic-tac-toe. When these bright, young people came together they formed the Lakeside Programmers’ Group. Later on after catching some experience as well as going deeper with their passion, the group created a program that counted traffic in Seattle, called Traf-O-Data. Traf-O-Data was able to calculate how many cars were on the road at one given time, and it would give information about the best time for a stop light. The duo along with other classmates earned $20,000 for their efforts. Also, during the computer time that the school offered, Gates and Allen created a scheduling program for their school. At their young age, Gates and Allen wanted to start their own company but Gates’ parents wanted his to finish school and hoped their son would become a lawyer. This is where the history of computers started as we know it. Bill Gates graduated from Lakeside School in 1973 and went on to Harvard University to pursue a law career, like his parents wanted. After life in Lakeside School was over Gates made sure to keep in touch with his friend, Paul Allen. Allen attended Washington State University for two years but later dropped out to move out to the East Coast to work for a company called Honeywell. Bill Gates is considered the genius or the era but when he enrolled at Harvard, it can be said that his grades did not reflect his brilliant intellect. He would just get a few hours of sleep and study for test at the last possible minute. What were the consequences? He would pass his classes with a reasonable but not an excellent one. Gates still felt very passionate about computers and programming so ...

1- Bill Gates was born on October 28, 1955, in the city of Se.docx

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1 Bill Gates was born on October 28, 1955, in the city of Seattle, Washington. His parents’ names were William H. Gates II, who was a prominent lawyer in Seattle, and his deceased mother, Mary Gates, who was a former school teacher and was very well connected. Also, Bill Gates had two sisters, Kristianne, who is the eldest and Libby. Mary played an integral role in Bill Gates’ entrepreneurial life. She was a University of Washington regent and sat in the board for United Way International. The CEO of IBM also happened to sit in this board with Mary, which later became the connection of a lifetime. Bill would often go to these volunteer meetings with his mother. Although Gates’ parents hoped for a law career for their son, Bill showed great interest in computers at the age of only thirteen! His first encounter with a computer was at the Lakeside School. A company called the Computer Center Corporation, leased computers from Digital Equipment Corporation. The school then decided to provide their students with some computer time and this is when Bill Gates found his passion for the first time. Gates met a new friend who would later be his first business partner. His name was Paul Allen. He was two years older than Gates but they certainly shared the same passion for computers. In his teens, Gates had already built a program that allowed people to play tic-tac-toe. When these bright, young people came together they formed the Lakeside Programmers’ Group. Later on after catching some experience as well as going deeper with their passion, the group created a program that counted traffic in Seattle, called Traf-O-Data. Traf-O-Data was able to calculate how many cars were on the road at one given time, and it would give information about the best time for a stop light. The duo along with other classmates earned $20,000 for their efforts. Also, during the computer time that the school offered, Gates and Allen created a scheduling program for their school. At their young age, Gates and Allen wanted to start their own company but Gates’ parents wanted his to finish school and hoped their son would become a lawyer. This is where the history of computers started as we know it. Bill Gates graduated from Lakeside School in 1973 and went on to Harvard University to pursue a law career, like his parents wanted. After life in Lakeside School was over Gates made sure to keep in touch with his friend, Paul Allen. Allen attended Washington State University for two years but later dropped out to move out to the East Coast to work for a company called Honeywell. Bill Gates is considered the genius or the era but when he enrolled at Harvard, it can be said that his grades did not reflect his brilliant intellect. He would just get a few hours of sleep and study for test at the last possible minute. What were the consequences? He would pass his classes with a reasonable but not an excellent one. Gates still felt very passionate about computers and programming so he w.

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Poster to be presented at Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2024, Kaust, Saudi Arabia, https://cemse.kaust.edu.sa/stochnum/events/event/snsl-workshop-2024. In this work we have considered a setting that mimics the Henry problem \cite{Simpson2003,Simpson04_Henry}, modeling seawater intrusion into a 2D coastal aquifer. The pure water recharge from the ``land side'' resists the salinisation of the aquifer due to the influx of saline water through the ``sea side'', thereby achieving some equilibrium in the salt concentration. In our setting, following \cite{GRILLO2010}, we consider a fracture on the sea side that significantly increases the permeability of the porous medium. The flow and transport essentially depend on the geological parameters of the porous medium, including the fracture. We investigated the effects of various uncertainties on saltwater intrusion. We assumed uncertainties in the fracture width, the porosity of the bulk medium, its permeability and the pure water recharge from the land side. The porosity and permeability were modeled by random fields, the recharge by a random but periodic intensity and the thickness by a random variable. We calculated the mean and variance of the salt mass fraction, which is also uncertain. The main question we investigated in this work was how well the MLMC method can be used to compute statistics of different QoIs. We found that the answer depends on the choice of the QoI. First, not every QoI requires a hierarchy of meshes and MLMC. Second, MLMC requires stable convergence rates for $\EXP{g_{\ell} - g_{\ell-1}}$ and $\Var{g_{\ell} - g_{\ell-1}}$. These rates should be independent of $\ell$. If these convergence rates vary for different $\ell$, then it will be hard to estimate $L$ and $m_{\ell}$, and MLMC will either not work or be suboptimal. We were not able to get stable convergence rates for all levels $\ell=1,\ldots,5$ when the QoI was an integral as in \eqref{eq:integral_box}. We found that for $\ell=1,\ldots 4$ and $\ell=5$ the rate $\alpha$ was different. Further investigation is needed to find the reason for this. Another difficulty is the dependence on time, i.e. the number of levels $L$ and the number of sums $m_{\ell}$ depend on $t$. At the beginning the variability is small, then it increases, and after the process of mixing salt and fresh water has stopped, the variance decreases again. The number of random samples required at each level was estimated by calculating the decay of the variances and the computational cost for each level. These estimates depend on the minimisation function in the MLMC algorithm. To achieve the efficiency of the MLMC approach presented in this work, it is essential that the complexity of the numerical solution of each random realisation is proportional to the number of grid vertices on the grid levels.

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